ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume V-4-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 113–120, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-4-2021, 113–120, 2021
https://doi.org/10.5194/isprs-annals-V-4-2021-113-2021

  17 Jun 2021

17 Jun 2021

POINT CLOUD BASED 3D MODELS FOR AGENT BASED SIMULATIONS IN SOCIAL DISTANCING AND EVACUATION

S. Nikoohemat1, P. Godoy2, N. Valkhoff2, M. Wouters - van Leeuwen2, R. Voûte3, and V. V. Lehtola1 S. Nikoohemat et al.
  • 1Dept. of Earth Observation Science, Faculty ITC, University of Twente, Enschede, The Netherlands
  • 2INCONTROL Simulation Software BV, The Netherlands
  • 3CGI Nederland BV, The Netherlands

Keywords: Point Clouds, Indoor 3D Modeling, Agent Based Simulation, Disaster Management, Social Distancing, Evacuation

Abstract. Point clouds serve as the raw material for various models, such as Building Information Models (BIM). In this work, we investigate the reconstruction steps needed to create models that can be utilized directly for agent-based simulations. The input data for the reconstruction is captured with an indoor mobile mapping system. To show the prominence of this idea, we run social distancing and evacuation simulations on the reconstructed models. The simulations are run with multiple agents using a vision-based pedestrian model and A*-based path finding algorithm. The limitations of this approach are discussed. The video of the simulation is shared with the audience.

Link to the video: https://youtu.be/r2D3IxXt7Ls